Generalist

Talent Acquisition Partner

San Francisco Bay Area (San Mateo). Posted 2 months ago

The role

You will design and scale the hiring engine by creating talent strategies and mapping candidate ecosystems. You will partner with technical leaders to manage end-to-end searches and optimize recruiting methodologies.

What you will do

  • Manage end-to-end search ownership including intake, strategy, sourcing, screening, loop design, and closing.
  • Perform proactive talent mapping to identify prospective candidates.
  • Conduct targeted sourcing using publications, conferences, repositories, and referral networks.
  • Leverage AI tools for research, enrichment, and workflow enhancement.
  • Track pipeline conversion and channel effectiveness to guide team decisions.
  • Collaborate with hiring managers on role scoping, calibration, and interview loops.
  • Engage and close candidates by articulating the mission and technical scope.
  • Maintain data and structured interviewing practices within Ashby.
  • Manage external agencies to supplement internal sourcing.
  • Support in-person hiring efforts across San Francisco and Boston locations.

Required qualifications

  • 5+ years full-cycle technical recruiting
  • Track record of closing senior technical hires with competing offers
  • Real passive-sourcing depth
  • Data fluency including ATS reporting and spreadsheet use
  • Working, current use of AI tooling in workflow
  • Exceptional written communication
  • Genuine technical curiosity
  • Strong relationship management under pressure
  • Based in San Francisco or Boston, in person

Nice to have

  • Hiring for a frontier research organization or AI lab
  • Robotics, autonomous vehicles, or hardware experience
  • Experience as an early or founding recruiter
  • Ashby, or fluency in a comparable structured-interview ATS
  • Agency or search-firm training early in career
  • Familiarity with both the Bay Area and Boston markets

About the company

Generalist is on a mission to build general intelligence for the physical world. The team includes researchers and roboticists from OpenAI, Boston Dynamics, and Google DeepMind.